> Markdown version of [/jobs/ext/2757919-senior-machine-learning-mlops-engineer](https://www.wearedevelopers.com/jobs/ext/2757919-senior-machine-learning-mlops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning / MLOps Engineer - **Company:** Insight Global - **Location:** Norcross, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, Standard Sql, Management of Software Versions, Feature Engineering, Data Lakes, Kubernetes, Xgboost, Machine Learning Operations, Restful APIs, Docker, Databricks - **Published:** September 6, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3380050622&tx=DT10596UYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 5+ years of ML Engineering, MLOps, or Data Science experience - Strong Python and SQL skills - Experience building, training, and deploying ML models into production - Hands-on experience with Azure Databricks, MLflow, and XGBoost (or similar frameworks) - Experience with model monitoring, versioning, CI/CD, and automated testing - Experience with Docker and cloud-based environments Ability to work across the full ML lifecycle (development through deployment and retraining - Databricks Model Serving - Unity Catalog - Delta Lake - Databricks Feature Engineering capabilities - Microsoft Azure platform experience - SHAP or other model explainability tools - Kubernetes / AKS - REST API development and integration - Real-time model serving experience - Insurance, claims, fraud, risk, or financial services industry experience Experience working on decisioning or predictive analytics models ## Description Our client is seeking a Senior Machine Learning / MLOps Engineer to help productionize and enhance an existing machine learning decisioning model within Azure Databricks. This individual will take ownership of transitioning an XGBoost-based model into a scalable production environment while building the pipelines, monitoring, CI/CD processes, and governance required to support long-term operations. The ideal candidate has a blend of hands-on machine learning expertise and MLOps experience, with the ability to develop, tune, deploy, monitor, and improve ML models throughout the full lifecycle. This is not a pure infrastructure or DevOps role. Candidates must have strong experience building and working directly with machine learning models in production. ## Related Videos - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)